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Schema
Citing CMDGA
Clear Filters
Annotation type
candidate regulatory elements
79
target gene predictions
78
chromatin state
44
gene expression
33
accessible chromatin
15
eQTL
12
variant allelic effects
6
Fine-mapped variants
6
binding sites
6
histone modifications
4
differential activity
Annotation Category
4
Gene expression levels
Annotation type Category
2
RNA-seq
2
single cell RNA-seq
Available data
4
tsv
File set status
4
released
Organism
4
Homo sapiens
Biosample type
2
primary cell
2
tissue
Biosample term
2
Renin-positive Juxtaglomerular Granular Cell
1
subcutaneous adipose tissue
1
visceral abdominal adipose tissue
Disease term
2
coronary artery disease
1
Acute kidney failure, unspecified
1
Chronic kidney disease (CKD)
Organ
epithelium
56
kidney
33
pancreas
18
vasculature
14
connective tissue
12
blood vessel
4
liver
2
adipose tissue
2
artery
2
lymphatic vessel
1
musculature of body
Life stage
4
adult
Date released
2
February, 2024
2
September, 2023
Software used
4
deseq2
Lab
2
AMP-T2D consortium
2
KPMP
Project
2
AMP
2
KPMP
RFA
2
AMP
2
KPMP
annotation_type!
candidate regulatory elements
organ_slims!
epithelium
Showing 4 of 4 results
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Download
FileSet
DSR483AIN
released
Annotation file set
: Tissue-specific differentially expressed genes for CAD case/control status from STARNET bulk RNA seq data for visceral abdominal adipose tissue (FDR=10%)
Lab:
AMP-T2D consortium
Project:
AMP
FileSet
DSR639EWK
released
Annotation file set
: Tissue-specific differentially expressed genes for CAD case/control status from STARNET bulk RNA seq data for subcutaneous adipose tissue (FDR=10%)
Lab:
AMP-T2D consortium
Project:
AMP
FileSet
DSR865QJP
released
Annotation file set
: Differential activity annotation of Renin-positive Juxtaglomerular Granular Cell between CKD and healthy individuals from KPMP scRNA-seq ( ~disease type + age + gender )
Lab:
KPMP
Project:
KPMP
FileSet
DSR105VRH
released
Annotation file set
: Differential activity annotation of Renin-positive Juxtaglomerular Granular Cell between AKI and healthy individuals from KPMP scRNA-seq ( ~disease type + age + gender )
Lab:
KPMP
Project:
KPMP